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The importance of being fuzzy : and other insights from the border between math and computers / Arturo Sangalli.

By: Sangalli, Arturo, 1940-.
Material type: materialTypeLabelBookPublisher: Princeton, N.J. : Princeton University Press, 1998Description: xvi, 173 p. : ill. ; 25 cm.ISBN: 0691001448 .Subject(s): Soft computing | Fuzzy systemsDDC classification: 006.3
Contents:
Part one: Blurred visions -- Classes with uncertain borders -- Fuzzy does it -- Part two: Limits -- The limits of classical computing -- The limits of formal reasoning -- Part three: Natural solutions -- Net gains -- Solutions via evolution.

Enhanced descriptions from Syndetics:

How has computer science changed mathematical thinking? In this first ever comprehensive survey of the subject for popular science readers, Arturo Sangalli explains how computers have brought a new practicality to mathematics and mathematical applications. By using fuzzy logic and related concepts, programmers have been able to sidestep the traditional and often cumbersome search for perfect mathematical solutions to embrace instead solutions that are "good enough." If mathematicians want their work to be relevant to the problems of the modern world, Sangalli shows, they must increasingly recognize "the importance of being fuzzy."


As Sangalli explains, fuzzy logic is a technique that allows computers to work with imprecise terms--to answer questions with "maybe" rather than just "yes" and "no." The practical implications of this flexible type of mathematical thinking are remarkable. Japanese programmers have used fuzzy logic to develop the city of Sendai's unusually energy-efficient and smooth-running subway system--one that does not even require drivers. Similar techniques have been used in fields as diverse as medical diagnosis, image understanding by robots, the engineering of automatic transmissions, and the forecasting of currency exchange rates. Sangalli also explores in his characteristically clear and engaging manner the limits of classical computing, reviewing many of the central ideas of Turing and Godel. He shows us how "genetic algorithms" can solve problems by an evolutionary process in which chance plays a fundamental role. He introduces us to "neural networks," which recognize ill-defined patterns without an explicit set of rules--much as a dog can be trained to scent drugs without ever having an exact definition of "drug." Sangalli argues that even though "fuzziness" and related concepts are often compared to human thinking, they can be understood only through mathematics--but the math he uses in the book is straightforward and easy to grasp.


Of equal appeal to specialists and the general reader, The Importance of Being Fuzzy reveals how computer science is changing both the nature of mathematical practice and the shape of the world around us.

Includes bibliographical references and index.

Part one: Blurred visions -- Classes with uncertain borders -- Fuzzy does it -- Part two: Limits -- The limits of classical computing -- The limits of formal reasoning -- Part three: Natural solutions -- Net gains -- Solutions via evolution.

Table of contents provided by Syndetics

  • Preface
  • Acknowledgments
  • To the Reader
  • Pt. 1 Blurred Visions (p. 1)
  • Ch. 1 Classes with Uncertain Borders (p. 3)
  • Ch. 2 Fuzzy Does It (p. 19)
  • Pt. 2 Limits (p. 47)
  • Ch. 3 The Limits of Classical Computing (p. 49)
  • Ch. 4 The Limits of Formal Reasoning (p. 76)
  • Pt. 3 Natural Solutions (p. 93)
  • Ch. 5 Net Gains (p. 95)
  • Ch. 6 Solutions via Evolution (p. 126)
  • Afterword (p. 157)
  • App. 1 (p. 159)
  • App. 2 (p. 162)
  • App. 3 (p. 164)
  • App. 4 (p. 166)
  • Index (p. 171)

Reviews provided by Syndetics

CHOICE Review

The use of the term "fuzzy logic" has become widespread and fashionable in recent years, not just among the technical community but also among the general populace. Sangalli argues strongly in simple terms the mystery of being fuzzy and the vast utility of the field of fuzzy mathematics. In simple, nontechnical terms, he shows the limits of classical mathematics and the limits of classical artificial intelligence techniques paving the way for the fuzzy approach, a totally novel and different perspective that is solidly founded on robust mathematics and yet intuitively simple in concepts and representation. Through a great number of quotes and real-life examples, the author highlights the problems of classical approaches and demonstrates with a detailed survey the concepts and applications of fuzzy and other modern computational intelligence techniques including fuzzy logic, artificial neural networks, and evolutionary algorithms. This fascinating book is an excellent position paper possibly marking the advent of a new era of computational intelligence in real life. General readers. J. Y. Cheung; University of Oklahoma

Author notes provided by Syndetics

Arturo Sangalli is Professor of Mathematics at Champlain Regional College in Lennoxville, Québec.

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